pcauich/sentiment_analysis_viewer-dataiku

Sentiment analysis applied to tweets data that mention @dataiku and visualize the results in a leaflet map (A sentiment analysis twitter map)

Sentiment Analyis on tweets that mention @dataiku

A simple Node.js app using Express 4.

First we perform a sentiment analysis on tweets data(Tweets that mention specific account @dataiku) - since 2012 to 2017 Then, We scrape tweets using a python script and the twitter public search api to collect data, then we apply sentiment analysis using Python and a NLP module, specifically the module called textblob, built on top of python nltk.

Running Locally

Make sure you have Node.js and the Heroku CLI installed.

$ git clone https://github.com/pcauich/sentiment_analysis_viewer-dataiku.git # or clone your own fork
$ cd sentiment_analysis_viewer-dataiku
$ npm install
$ npm start

Your app should now be running on localhost:5000.

Deploying to Heroku

$ heroku create
$ git push heroku master
$ heroku open

or

Documentation

For more information about using Node.js on Heroku, see these Dev Center articles:

• Getting Started with Node.js on Heroku
• Heroku Node.js Support
• Node.js on Heroku
• Best Practices for Node.js Development
• Using WebSockets on Heroku with Node.js

Attribution

Created by: Pedro Cauich

Credits to:

• Dataiku Dss
• Python NLTK
• TextBlolb
• Twitter Advanced search
• Leaflet
• And more...